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8ebd4245
编写于
10月 15, 2021
作者:
H
Hui Zhang
浏览文件
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电子邮件补丁
差异文件
fix detoken for char
上级
eef8847a
变更
2
隐藏空白更改
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并排
Showing
2 changed file
with
2 addition
and
8 deletion
+2
-8
deepspeech/frontend/featurizer/text_featurizer.py
deepspeech/frontend/featurizer/text_featurizer.py
+1
-1
examples/aishell/s1/README.md
examples/aishell/s1/README.md
+1
-7
未找到文件。
deepspeech/frontend/featurizer/text_featurizer.py
浏览文件 @
8ebd4245
...
@@ -140,7 +140,7 @@ class TextFeaturizer():
...
@@ -140,7 +140,7 @@ class TextFeaturizer():
Returns:
Returns:
str: text string.
str: text string.
"""
"""
tokens
=
tokens
.
replace
(
SPACE
,
" "
)
tokens
=
[
t
.
replace
(
SPACE
,
" "
)
for
t
in
tokens
]
return
""
.
join
(
tokens
)
return
""
.
join
(
tokens
)
def
word_tokenize
(
self
,
text
):
def
word_tokenize
(
self
,
text
):
...
...
examples/aishell/s1/README.md
浏览文件 @
8ebd4245
...
@@ -11,6 +11,7 @@
...
@@ -11,6 +11,7 @@
## Chunk Conformer
## Chunk Conformer
Need set
`decoding.decoding_chunk_size=16`
when decoding.
| Model | Params | Config | Augmentation| Test set | Decode method | Chunk Size & Left Chunks | Loss | WER |
| Model | Params | Config | Augmentation| Test set | Decode method | Chunk Size & Left Chunks | Loss | WER |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
...
@@ -18,10 +19,3 @@
...
@@ -18,10 +19,3 @@
| conformer | 47.06M | conf/chunk_conformer.yaml | spec_aug + shift | test | ctc_greedy_search | 16, -1 | - | 0.070806 |
| conformer | 47.06M | conf/chunk_conformer.yaml | spec_aug + shift | test | ctc_greedy_search | 16, -1 | - | 0.070806 |
| conformer | 47.06M | conf/chunk_conformer.yaml | spec_aug + shift | test | ctc_prefix_beam_search | 16, -1 | - | 0.070739 |
| conformer | 47.06M | conf/chunk_conformer.yaml | spec_aug + shift | test | ctc_prefix_beam_search | 16, -1 | - | 0.070739 |
| conformer | 47.06M | conf/chunk_conformer.yaml | spec_aug + shift | test | attention_rescoring | 16, -1 | - | 0.059400 |
| conformer | 47.06M | conf/chunk_conformer.yaml | spec_aug + shift | test | attention_rescoring | 16, -1 | - | 0.059400 |
## Transformer
| Model | Params | Config | Augmentation| Test set | Decode method | Loss | WER |
| --- | --- | --- | --- | --- | --- | --- | ---|
| transformer | - | conf/transformer.yaml | spec_aug + shift | test | attention | - | - |
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